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Cyclostationary Analysis for Gearbox and Bearing Fault Diagnosis
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-23
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Gearbox and rolling element bearing vibration signals feature modulation, thus being cyclostationary.
Therefore, the cyclic correlation and cyclic spectrum are suited to analyze their modulation characteristics and thereby extract gearbox and bearing fault symptoms.
In order to thoroughly understand the cyclostationarity of gearbox and bearing vibrations, the explicit expressions of cyclic correlation and cyclic spectrum for amplitude modulation and frequency modulation (AM-FM) signals are derived, and their properties are summarized.
The theoretical derivations are illustrated and validated by gearbox and bearing experimental signal analyses.
The modulation characteristics caused by gearbox and bearing faults are extracted.
In faulty gearbox and bearing cases, more peaks appear in cyclic correlation slice of 0 lag and cyclic spectrum, than in healthy cases.
The gear and bearing faults are detected by checking the presence or monitoring the magnitude change of peaks in cyclic correlation and cyclic spectrum and are located according to the peak cyclic frequency locations or sideband frequency spacing.
American Psychological Association (APA)
Feng, Zhipeng& Chu, F. L.. 2015. Cyclostationary Analysis for Gearbox and Bearing Fault Diagnosis. Shock and Vibration،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1078194
Modern Language Association (MLA)
Feng, Zhipeng& Chu, F. L.. Cyclostationary Analysis for Gearbox and Bearing Fault Diagnosis. Shock and Vibration No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1078194
American Medical Association (AMA)
Feng, Zhipeng& Chu, F. L.. Cyclostationary Analysis for Gearbox and Bearing Fault Diagnosis. Shock and Vibration. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1078194
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078194